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Legacy contributions to diffuse water pollution: Data-driven multi-catchment quantification for nutrients and carbon
Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden..
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering. Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden..ORCID iD: 0000-0002-7978-0040
Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden..
2023 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 879, p. 163092-, article id 163092Article in journal (Refereed) Published
Abstract [en]

Legacy pollutants are increasingly proposed as possible reasons for widespread failures to improve water quality, de -spite the implementation of stricter regulations and mitigation measures. This study investigates this possibility, using multi-catchment data and relatively simple, yet mechanistically-based, source distinction relationships between water discharges and chemical concentrations and loads. The relationships are tested and supported by the available catch -ment data. They show dominant legacy contributions for total nitrogen (TN), total phosphorus (TP) and total organic carbon (TOC) across catchment locations and scales, from local to country-wide around Sweden. Consistently across the study catchments, close relationships are found between the legacy concentrations of TN and TOC and the land shares of agriculture and of the sum of agriculture and forests, respectively. The legacy distinction and quantification capabilities provided by the data-driven approach of this study could guide more effective pollution mitigation and should be tested in further research for other chemicals and various sites around the world.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 879, p. 163092-, article id 163092
Keywords [en]
Legacy sources, Eutrophication, Water browning, Streams, Groundwater, Land use
National Category
Environmental Sciences Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:kth:diva-326578DOI: 10.1016/j.scitotenv.2023.163092ISI: 000972221300001PubMedID: 37001269Scopus ID: 2-s2.0-85151265064OAI: oai:DiVA.org:kth-326578DiVA, id: diva2:1755347
Note

QC 20230508

Available from: 2023-05-08 Created: 2023-05-08 Last updated: 2023-05-08Bibliographically approved

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Kalantari, Zahra

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